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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

G. Murthy

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5 papers indexed here

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Conference Aug 2026

Multi-Adapter Qlora for Cross-Domain Financial Fraud Detection

Most fraud detection systems are developed for a single domain at a time: a bank uses one model for credit card fraud, an insurer uses another for claims, and each requires its own large labelled dataset while offering no explanation for its decisions. This paper tests whether a single lightweight language model can in...

Kondapaka Arun, Mursubai Sandhya Rani, K. Shailaja et al. · 0 citations
Conference Open access Sep 2026

MERGE-Med: Multi-Expert Retrieval-Grounded Engine for Medical Report Summarization Using Hierarchical RAG and Contrastive Learning

Electronic health records (EHRs) have created large volumes of clinical data that require automated and accurate summarization that patients can understand. Current large language models (LLMs) are prone to hallucination and show limited task specialization and inadequate clinical grounding. MERGE-Med is a hybrid multi...

D. S. Tejaswi, P. R. Reddy, K. Shailaja et al. · 0 citations
Conference Aug 2026

A Hierarchical Attribute-Based Encryption Framework Integrated with Blockchain for Secure Data Sharing in Industrial IoT

The development of the Industrial Internet of Things (IIoT) results in colossal amounts of vulnerable operational data that needs to be exchanged safely in distributed logistics networks. Centralized cloud architectures introduce latency, scalability, and privacy bottlenecks. This paper proposes a decentralized hierarc...

C. Naveen, J. Kumar, K. Shailaja et al. · 0 citations
Conference Aug 2026

Real-Time DDoS Detection and Mitigation in SDN with an Ensemble Online Learning Approach

Software-Defined Networking (SDN) centralizes network control in a software controller, making it a high-value target for Distributed Denial-of-Service (DDoS) attacks. Existing machine learning defences are predominantly trained offline and require costly retraining to remain effective under evolving traffic patterns a...

Sodadasu Dharma Raj, N. Goud, K. Shailaja et al. · 0 citations
Conference Jul 2026

Attention-Enhanced Temporal Deep Learning with Explainable AI for Dew Point Temperature Forecasting

Accurate dew point temperature predictions are vital for weather forecasting, agriculture, energy management and environmental monitoring, especially in climate sensitive areas. The traditional statistical method and shallow learning method have some difficulties in the modeling of complicated nonlinear temporal correl...

Arrolla Upendar, D. R. Kumar, K. Shailaja et al. · 0 citations

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